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16篇 您的检索式:作者名="Grinchuk"
    题名 作者 年代 出处 被引量
1Integrative analysis of the human cis-antisense gene pairs,miRNAs and their transcription regulation patterns显示文摘Grinchuk OV Jenjaroenpun P Orlov YL 0,,:1
2Overexpression of P-glycoprotein is associated with a decreased mitochondrial transmembrane potential in doxorubicin-selected K562 human leukemia cells 显示文摘 Grinchuk TM Tee L 2000Int J Oncol2000,17,:1
3Multipotent mesenchymal stem cel s of desquamated endometrium:isolation,characterization and use as feeder layer for maintenance of human embryonic stem cel lines显示文摘Zemel'ko VI Grinchuk TM Domnina AP 0,,12:1
4The Optimedin gene is a downstream target of Pax6 显示文摘Grinchuk O Kozmik Z Wu XF Tomarev S 2005J Biol Chem2005,280,35:1
5Mechanisms of drug resistance of two cell lines of human chronic promyelocytic leukemia K562,resistant to DNA topoisomeraseⅡ inhibitors adriamycin and etoposide显示文摘Meliksetian MB Berezkina EV Pavlenko MA Grinchuk TM 1999Tsitologiia1999,41,7:1
6Integrative analysis of the human cis-antisense gene pairs,miRNAs and their transcription regulation patterns显示文摘Grinchuk OV Jenjaroenpun P Orlov YL 2010Nucleic Acids Res2010,38,2:1
7Macrophages as IL- 25/IL-33-responsive cells play an important role in the induction of type 2 immunity 显示文摘Yang Z Grinchuk V Urban JJ 2013PLoS One2013,8,59:1
8Multipotent mesenchymal stem cel s of desquamated endometrium:isolation,characterization and use as feeder layer for maintenance of human embryonic stem cel lines显示文摘Zemel'ko VI Grinchuk TM Domnina AP 0,,12:1
9Conditions for combustion synthesis in nanosized Ni/A1 films on a substrate显示文摘RABINOVICH O S GRINCHUK P S Andreev M A 2007Physics B2007,392,2:1
10Resistance to adriamycin in human chronic promyeloleukemia line K562 correlates with directed genome destabilization-amplification of MDR1 gene and nonrandom changes in karyotype structure 显示文摘Grinchuk TM Pavlenko MA Lipskaia LA 1998Tsitologiia1998,,:1
11Characteriza- tions of the murine mesenchymal cell line expressing GFP 显示文摘Grinchuk T Ivantsov K Alekseenko L 2009Cell and tissue boil2009,3,1:1
12IL-33-induced alterations in murine intestinal function and cytokine responses are MyD88, STAT6, and IL-13 dependent 显示文摘Yang Z Sun R Grinchuk V 2013Am J Physiol Gastrointest Liver Physiol2013,304,4:1
13Macrophages asIL-25/IL-33-responsive cells play an important role in theinduction of type 2 immunity显示文摘Yang Z Grinchuk V Urban JF Jr 2013PLoS One2013,8,3:1
14Macrophages as IL-25/IL- 33-responsive cells play an important role in the induction of type 2 immunity显示文摘Yang Z Grinchuk V Urban JJ 2013PLoSOne2013,8,59:1
15Integrative analysis of the human cis-antisense gene pairs,miRNAs and their transcription regulation patterns显示文摘Grinchuk OV Jenjaroenpun P Orlov YL 2010Nucleic Acids Res2010,38,2:1
16Power-law multi-wave model for COVID-19 propagation in countries with nonuniform population density显示文摘Background: The purpose of our study is to develop a quite precise mathematical model which describes epidemics spread in a country with non-uniform population density. This model gives explanation of quite long duration of the peak of a respiratory infection such as the coronavirus disease 2019 (COVID-19).Methods: The theory of kinetic equations and fractal analysis are used in our mathematical model. According to our model, COVID-19 spreading takes the form of several spatio-temporal waves developing almost independently and simultaneously in areas with different population density. The intensity of each wave is described by a power-law dependence. The parameters of the dependence are determined by real statistical data at the initial stage of the disease spread.Results: The results of the model simulation were verified using statistical data for the Republic of Belarus. Based on the developed model, a forecast calculation was made at the end of May, 2020. It was shown that the epidemiological situation in the Republic of Belarus is well described by three waves, which spread respectively in large cities with the highest population density (the first wave), in medium-sized cities with a population of 50−200 thousands people (the second wave), in small towns and rural areas (the third wave). It was shown that a new wave inside a subpopulation with a lower density was born 20−25 days after the appearance of the previous wave. Comparison with actual data several months later showed that the accuracy of forecasting the total number of cases for a period of 3 months for total population in the proposed approach was approximately 3%.Conclusions: The high accuracy mathematical model is proposed. It describes the development of a respiratory epidemic in a country non-uniform population density without quarantine. The model is useful for predicting the development of possible epidemics in the future. An accurate forecast allows to correctly allocating available resources to effectively withstand the epidemic.Pavel Grinchuk Sergey Fisenko 2022Quantitative Biology2022,10,2:0
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